Spatial analysis of infrastructure systems with remote sensing techniques: The case of Burdur Basin

Abstract

Basins formed by ecological resource have several indispensable natural values for human well-being as a part of natural landscapes. In this context, determining the different ecological characteristics of the basins is important for the sustainability and management of ecological life. In this study, infrastructures approach was applied to analyze topography and land use of the Burdur Basin. At this point, the study area was determined as green, blue, yellow, and grey infrastructures and analyzed with the topography, slope, and aspect features of the study area. Image classification utilized as a part of remote sensing of Sentinel-2A satellite images, and because of the accuracy analysis, the Kappa were calculated 0.86. In the study, NDVI, NDWI and SAVI indices were used and analyzed with infrastructure systems to determine the infrastructure identification potential of these indices. As a result, it has been determined that yellow infrastructures cover more area compared to other infrastructure types, green, blue and grey infrastructures and the yellow infrastructure, respectively. According to the indices, the NDVI index has the most infrastructures identification potential for the study area. Consequently, the dominant infrastructure type in the study area was found to be yellow infrastructure. Yellow infrastructure is followed by green, blue, and gray infrastructures respectively.

Keywords

• green infrastructure
• blue infrastructure
• grey infrastructure
• yellow infrastructure
• remote sensing
• yeşil altyapı
• mavi altyapı
• gri altyapı
• sarı altyapı
• uzaktan algılama